{
  "nbformat": 4,
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  "metadata": {
    "colab": {
      "name": "EnergyDisaggregationEDA.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [
        "KSoClZiJtUv9",
        "G86j_K5C_yNv"
      ]
    },
    "kernelspec": {
      "display_name": "python3Virtual",
      "language": "python",
      "name": "python3virtual"
    }
  },
  "cells": [
    {
      "metadata": {
        "id": "dUPYPcaOAAWK",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "# License\n",
        "\n",
        "Copyright 2019 Google LLC\n",
        "\n",
        "Licensed under the Apache License, Version 2.0 (the \"License\");  \n",
        "you may not use this file except in compliance with the License.  \n",
        "You may obtain a copy of the License at . \n",
        "\n",
        "      http://www.apache.org/licenses/LICENSE-2.0\n",
        "\n",
        "Unless required by applicable law or agreed to in writing,  \n",
        "software distributed under the License is distributed on an \"AS IS\" BASIS,  \n",
        "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  \n",
        "See the License for the specific language governing permissions and  \n",
        "limitations under the License."
      ]
    },
    {
      "metadata": {
        "id": "W6Yj32WW_yNf",
        "colab_type": "code",
        "colab": {},
        "cellView": "form"
      },
      "cell_type": "code",
      "source": [
        "# @title Upload files (skip this if this is run locally)\n",
        "\n",
        "# Use this cell to update the following files\n",
        "#   1. requirements.txt\n",
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "OO0a3n5-_yNi",
        "colab_type": "code",
        "colab": {},
        "cellView": "form"
      },
      "cell_type": "code",
      "source": [
        "# @title Install missing packages\n",
        "\n",
        "# run this cell to install packages if some are missing\n",
        "!pip install -r requirements.txt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "cellView": "form",
        "colab_type": "code",
        "id": "CJ3sqgKeN7z1",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# @title Import libraries\n",
        "\n",
        "from datetime import datetime\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import os\n",
        "import pandas as pd\n",
        "import re\n",
        "import gcsfs\n",
        "import sklearn.metrics\n",
        "\n",
        "%matplotlib inline"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "dlghd7IoeJsv"
      },
      "cell_type": "markdown",
      "source": [
        "# Data inspection"
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "KSoClZiJtUv9"
      },
      "cell_type": "markdown",
      "source": [
        "## Utility for loading and transforming raw data"
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "inMFHvviU24H",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "def load_main_energy_data(path):\n",
        "  \"\"\"Load main energy data from the specified file.\n",
        "  \n",
        "  Load main energy data from the specified file.\n",
        "  \n",
        "  Args:\n",
        "    path - string. Path to the data file.\n",
        "  Returns:\n",
        "    pd.DataFrame - Main energy data in the household.\n",
        "  Raises:\n",
        "    ValueError. Raised when the specified file does not exist.\n",
        "  \"\"\"\n",
        "  \n",
        "  if not os.path.exists(path):\n",
        "    raise ValueError('File {} does not exist.'.format(path))\n",
        "  \n",
        "  with open(path, 'r') as f:\n",
        "    data = pd.read_csv(f,\n",
        "                       delimiter=' ',\n",
        "                       header=None,\n",
        "                       names=['time',\n",
        "                              'main_watts',\n",
        "                              'main_va',\n",
        "                              'main_RMS'])\n",
        "  \n",
        "  data.time = data.time.apply(lambda x: datetime.fromtimestamp(x))\n",
        "  data.set_index('time', drop=True, inplace=True)\n",
        "  data.index = data.index.floor('S')\n",
        "  return data"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "lr63bL8oT2il",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "def load_appliance_energy_data(path, appliance_name):\n",
        "  \"\"\"Load appliance energy data from file.\n",
        "  \n",
        "  Load energy data from the specified file.\n",
        "  \n",
        "  Args:\n",
        "    path - string. Path to the data file.\n",
        "    appliance_name - string. Name of the appliance.\n",
        "  Returns:\n",
        "    pd.DataFrame. A 2-column dataframe.\n",
        "    The 1st column is timestamp in UTC, and the 2nd is energy in \n",
        "  Raises:\n",
        "    ValueError. Raised when the specified file does not exist.\n",
        "  \"\"\"\n",
        "  \n",
        "  if not os.path.exists(path):\n",
        "    raise ValueError('File {} does not exist.'.format(path))\n",
        "  \n",
        "  with open(path, 'r') as f:\n",
        "    df = pd.read_csv(f,\n",
        "                     delimiter=' ',\n",
        "                     header=None,\n",
        "                     names=['time', appliance_name])\n",
        "  \n",
        "  df.time = df.time.apply(lambda x: datetime.fromtimestamp(x))\n",
        "  df.set_index('time', drop=True, inplace=True)\n",
        "  df.index = df.index.floor('S')\n",
        "  return df"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "n_DpcToOXeId",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "def load_energy_data(data_dir, house_id, load_main=False):\n",
        "  \"\"\"Load all appliances energy data.\n",
        "  \n",
        "  Load all appliances energy data collected in a specified household.\n",
        "  \n",
        "  Args:\n",
        "    data_dir - string. Path to the directory of data.\n",
        "    house_id - int. Household id.\n",
        "    load_main - bool. Whether to load mains.dat.\n",
        "  Returns:\n",
        "    pd.DataFrame - Energy data in the household.\n",
        "  Raises:\n",
        "    ValueError. Raised when the specified directory or household does not exist.\n",
        "  \"\"\"\n",
        "  \n",
        "  house_data_dir = os.path.join(data_dir, 'house_{}'.format(house_id))\n",
        "  if not os.path.exists(house_data_dir):\n",
        "    raise ValueError('{} does not exist.'.format(house_data_dir))\n",
        "  \n",
        "  if load_main:\n",
        "    main_file = os.path.join(house_data_dir, 'mains.dat')\n",
        "    data = load_main_energy_data(main_file)\n",
        "  \n",
        "  label_file = os.path.join(house_data_dir, 'labels.dat')\n",
        "  with open(label_file, 'r') as f:\n",
        "    labels = pd.read_csv(f,\n",
        "                         delimiter=' ',\n",
        "                         header=None,\n",
        "                         index_col=0,\n",
        "                         names=['appliance'])\n",
        "  \n",
        "  appliance_files = filter(lambda x: re.match(r'channel_\\d+\\.dat', x),\n",
        "                           os.listdir(house_data_dir))\n",
        "\n",
        "  ll = [data,] if load_main else []\n",
        "  for f in appliance_files:\n",
        "    appliance_id = int(f.split('.')[0].split('_')[1])\n",
        "    appliance_name = labels.loc[appliance_id, 'appliance']\n",
        "    ll.append(load_appliance_energy_data(os.path.join(house_data_dir, f),\n",
        "                                         appliance_name))\n",
        "  if load_main:  \n",
        "    data = pd.concat(ll, axis=1, join_axes=[data.index])\n",
        "  else:\n",
        "    data = pd.concat(ll, axis=1)\n",
        "  return data"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "G86j_K5C_yNv",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## Data Loading"
      ]
    },
    {
      "metadata": {
        "id": "5yQVTzIi_yNw",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "GOOGLE_CLOUD_PROJECT = 'your-google-project-id' #@param\n",
        "GOOGLE_APPLICATION_CREDENTIALS = 'e2e_demo_credential.json' #@param\n",
        "os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = GOOGLE_APPLICATION_CREDENTIALS\n",
        "os.environ['GOOGLE_CLOUD_PROJECT'] = GOOGLE_CLOUD_PROJECT"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "GkiVpbce_yNz",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# If raw data is used, please make sure raw_data_dir is correctly set \n",
        "use_raw = False #@param\n",
        "\n",
        "selected_hid = 2 #@param\n",
        "raw_data_dir = 'ukdale data directory' #@param\n",
        "selected_house_dir = os.path.join(raw_data_dir, 'house_{}'.format(selected_hid))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "Kj-YzU15_yN1",
        "colab_type": "code",
        "colab": {},
        "outputId": "fccd278c-23ba-4a19-fe87-36378905ca92"
      },
      "cell_type": "code",
      "source": [
        "%%time\n",
        "\n",
        "if not use_raw:\n",
        "  print(\"Download processed sample file for house 2 from GCS\")\n",
        "  fs = gcsfs.GCSFileSystem(project=os.environ['GOOGLE_CLOUD_PROJECT'])\n",
        "  with fs.open('gs://gcp_blog/e2e_demo/processed_h2_appliance.csv') as f:\n",
        "    energy_data = pd.read_csv(f, \n",
        "                            index_col=0,\n",
        "                            parse_dates=True)\n",
        "else:\n",
        "  # load energy data from raw downloaded ukdale data directory\n",
        "  energy_data = load_energy_data(raw_data_dir, selected_hid)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Download processed file from GCS\n",
            "CPU times: user 28.4 s, sys: 8.73 s, total: 37.1 s\n",
            "Wall time: 5min 17s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "Jvb_slqp_yN6",
        "colab_type": "code",
        "colab": {},
        "outputId": "d37d5225-8dd9-459c-f7a2-cbb6f7a9664b"
      },
      "cell_type": "code",
      "source": [
        "energy_data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
              "      <th>cooker</th>\n",
              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>aggregate</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>playstation</th>\n",
              "      <th>toaster</th>\n",
              "      <th>fridge</th>\n",
              "      <th>microwave</th>\n",
              "      <th>laptop2</th>\n",
              "      <th>running_machine</th>\n",
              "      <th>washing_machine</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
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              "      <td>21.0</td>\n",
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            "text/plain": [
              "                     modem  cooker  rice_cooker  kettle  aggregate  monitor  \\\n",
              "time                                                                          \n",
              "2013-02-17 23:39:19    NaN     NaN          NaN     NaN        NaN     62.0   \n",
              "2013-02-17 23:39:25    NaN     NaN          NaN     NaN        NaN     61.0   \n",
              "2013-02-17 23:39:31    NaN     NaN          NaN     NaN        NaN     62.0   \n",
              "2013-02-17 23:39:37    NaN     NaN          NaN     NaN        NaN     62.0   \n",
              "2013-02-17 23:39:43    NaN     NaN          NaN     NaN        NaN     62.0   \n",
              "\n",
              "                     laptop  router  server_hdd  server  speakers  \\\n",
              "time                                                                \n",
              "2013-02-17 23:39:19    14.0     NaN         NaN    21.0       3.0   \n",
              "2013-02-17 23:39:25    14.0     NaN         NaN    21.0       3.0   \n",
              "2013-02-17 23:39:31    14.0     NaN         NaN    21.0       3.0   \n",
              "2013-02-17 23:39:37    14.0     NaN         NaN    22.0       3.0   \n",
              "2013-02-17 23:39:43    14.0     NaN         NaN    22.0       3.0   \n",
              "\n",
              "                     playstation  toaster  fridge  microwave  laptop2  \\\n",
              "time                                                                    \n",
              "2013-02-17 23:39:19          NaN      NaN     NaN        NaN      NaN   \n",
              "2013-02-17 23:39:25          NaN      NaN     NaN        NaN      NaN   \n",
              "2013-02-17 23:39:31          NaN      NaN     NaN        NaN      NaN   \n",
              "2013-02-17 23:39:37          NaN      NaN     NaN        NaN      NaN   \n",
              "2013-02-17 23:39:43          NaN      NaN     NaN        NaN      NaN   \n",
              "\n",
              "                     running_machine  washing_machine  dish_washer  \n",
              "time                                                                \n",
              "2013-02-17 23:39:19              NaN              NaN          NaN  \n",
              "2013-02-17 23:39:25              NaN              NaN          NaN  \n",
              "2013-02-17 23:39:31              NaN              NaN          NaN  \n",
              "2013-02-17 23:39:37              NaN              NaN          NaN  \n",
              "2013-02-17 23:39:43              NaN              NaN          NaN  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "Ea2QKs5VtcYl"
      },
      "cell_type": "markdown",
      "source": [
        "## EDA"
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "bfVtorG3RuHo",
        "outputId": "67c8ea47-4996-4e2c-a313-4c1774194cd2",
        "colab": {
          "height": 314
        }
      },
      "cell_type": "code",
      "source": [
        "print(energy_data.shape)\n",
        "energy_data.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(7074143, 19)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
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              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>aggregate</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>playstation</th>\n",
              "      <th>toaster</th>\n",
              "      <th>fridge</th>\n",
              "      <th>microwave</th>\n",
              "      <th>laptop2</th>\n",
              "      <th>running_machine</th>\n",
              "      <th>washing_machine</th>\n",
              "      <th>dish_washer</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.677592e+06</td>\n",
              "      <td>1.679203e+06</td>\n",
              "      <td>2.080995e+06</td>\n",
              "      <td>2.094523e+06</td>\n",
              "      <td>2.780373e+06</td>\n",
              "      <td>2.805646e+06</td>\n",
              "      <td>2.804685e+06</td>\n",
              "      <td>2.795349e+06</td>\n",
              "      <td>2.094586e+06</td>\n",
              "      <td>2.806036e+06</td>\n",
              "      <td>2.801065e+06</td>\n",
              "      <td>1.686903e+06</td>\n",
              "      <td>1.685322e+06</td>\n",
              "      <td>1.687285e+06</td>\n",
              "      <td>1.685519e+06</td>\n",
              "      <td>1.878770e+06</td>\n",
              "      <td>2.089140e+06</td>\n",
              "      <td>1.686220e+06</td>\n",
              "      <td>1.687175e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.986482e+00</td>\n",
              "      <td>2.065712e-01</td>\n",
              "      <td>3.308586e+00</td>\n",
              "      <td>2.999901e+01</td>\n",
              "      <td>3.373776e+02</td>\n",
              "      <td>2.280847e+01</td>\n",
              "      <td>9.580602e+00</td>\n",
              "      <td>9.967840e+00</td>\n",
              "      <td>2.765108e+00</td>\n",
              "      <td>1.771830e+01</td>\n",
              "      <td>5.928921e+00</td>\n",
              "      <td>9.457248e-01</td>\n",
              "      <td>6.086540e-01</td>\n",
              "      <td>4.585795e+01</td>\n",
              "      <td>6.709595e+00</td>\n",
              "      <td>4.134341e+00</td>\n",
              "      <td>3.399004e+00</td>\n",
              "      <td>1.157243e+01</td>\n",
              "      <td>4.292514e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>5.898772e-01</td>\n",
              "      <td>5.411729e+00</td>\n",
              "      <td>2.974451e+01</td>\n",
              "      <td>2.916419e+02</td>\n",
              "      <td>4.892145e+02</td>\n",
              "      <td>2.940439e+01</td>\n",
              "      <td>1.393829e+01</td>\n",
              "      <td>6.628239e+00</td>\n",
              "      <td>4.685827e+00</td>\n",
              "      <td>8.784269e+00</td>\n",
              "      <td>3.880836e+00</td>\n",
              "      <td>1.112636e+00</td>\n",
              "      <td>1.804222e+01</td>\n",
              "      <td>4.545345e+01</td>\n",
              "      <td>9.170054e+01</td>\n",
              "      <td>9.744350e+00</td>\n",
              "      <td>2.375296e+01</td>\n",
              "      <td>1.219902e+02</td>\n",
              "      <td>2.839677e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.090000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>7.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.670000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.300000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.120000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+02</td>\n",
              "      <td>6.000000e+01</td>\n",
              "      <td>1.600000e+01</td>\n",
              "      <td>1.800000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.700000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>8.700000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.650000e+02</td>\n",
              "      <td>3.532000e+03</td>\n",
              "      <td>1.017000e+03</td>\n",
              "      <td>3.998000e+03</td>\n",
              "      <td>1.652900e+04</td>\n",
              "      <td>1.300000e+03</td>\n",
              "      <td>2.100000e+03</td>\n",
              "      <td>2.630000e+02</td>\n",
              "      <td>1.917000e+03</td>\n",
              "      <td>4.790000e+02</td>\n",
              "      <td>2.051000e+03</td>\n",
              "      <td>3.110000e+02</td>\n",
              "      <td>3.216000e+03</td>\n",
              "      <td>1.826000e+03</td>\n",
              "      <td>2.668000e+03</td>\n",
              "      <td>2.621000e+03</td>\n",
              "      <td>1.349000e+03</td>\n",
              "      <td>2.974000e+03</td>\n",
              "      <td>3.964000e+03</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              modem        cooker   rice_cooker        kettle     aggregate  \\\n",
              "count  1.677592e+06  1.679203e+06  2.080995e+06  2.094523e+06  2.780373e+06   \n",
              "mean   8.986482e+00  2.065712e-01  3.308586e+00  2.999901e+01  3.373776e+02   \n",
              "std    5.898772e-01  5.411729e+00  2.974451e+01  2.916419e+02  4.892145e+02   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  1.090000e+02   \n",
              "25%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  1.670000e+02   \n",
              "50%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  2.120000e+02   \n",
              "75%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  3.000000e+02   \n",
              "max    2.650000e+02  3.532000e+03  1.017000e+03  3.998000e+03  1.652900e+04   \n",
              "\n",
              "            monitor        laptop        router    server_hdd        server  \\\n",
              "count  2.805646e+06  2.804685e+06  2.795349e+06  2.094586e+06  2.806036e+06   \n",
              "mean   2.280847e+01  9.580602e+00  9.967840e+00  2.765108e+00  1.771830e+01   \n",
              "std    2.940439e+01  1.393829e+01  6.628239e+00  4.685827e+00  8.784269e+00   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
              "25%    0.000000e+00  0.000000e+00  6.000000e+00  0.000000e+00  1.300000e+01   \n",
              "50%    0.000000e+00  0.000000e+00  6.000000e+00  1.000000e+00  1.400000e+01   \n",
              "75%    6.000000e+01  1.600000e+01  1.800000e+01  1.000000e+00  1.700000e+01   \n",
              "max    1.300000e+03  2.100000e+03  2.630000e+02  1.917000e+03  4.790000e+02   \n",
              "\n",
              "           speakers   playstation       toaster        fridge     microwave  \\\n",
              "count  2.801065e+06  1.686903e+06  1.685322e+06  1.687285e+06  1.685519e+06   \n",
              "mean   5.928921e+00  9.457248e-01  6.086540e-01  4.585795e+01  6.709595e+00   \n",
              "std    3.880836e+00  1.112636e+00  1.804222e+01  4.545345e+01  9.170054e+01   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  7.000000e+00  0.000000e+00   \n",
              "25%    3.000000e+00  1.000000e+00  0.000000e+00  1.100000e+01  0.000000e+00   \n",
              "50%    3.000000e+00  1.000000e+00  0.000000e+00  1.100000e+01  0.000000e+00   \n",
              "75%    1.000000e+01  1.000000e+00  1.000000e+00  8.700000e+01  0.000000e+00   \n",
              "max    2.051000e+03  3.110000e+02  3.216000e+03  1.826000e+03  2.668000e+03   \n",
              "\n",
              "            laptop2  running_machine  washing_machine   dish_washer  \n",
              "count  1.878770e+06     2.089140e+06     1.686220e+06  1.687175e+06  \n",
              "mean   4.134341e+00     3.399004e+00     1.157243e+01  4.292514e+01  \n",
              "std    9.744350e+00     2.375296e+01     1.219902e+02  2.839677e+02  \n",
              "min    0.000000e+00     0.000000e+00     0.000000e+00  0.000000e+00  \n",
              "25%    0.000000e+00     1.000000e+00     3.000000e+00  1.000000e+00  \n",
              "50%    0.000000e+00     1.000000e+00     3.000000e+00  1.000000e+00  \n",
              "75%    0.000000e+00     1.000000e+00     4.000000e+00  1.000000e+00  \n",
              "max    2.621000e+03     1.349000e+03     2.974000e+03  3.964000e+03  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "YJPJO3lV15Ff",
        "outputId": "e6701a64-924f-438a-860f-8280eeea6634",
        "colab": {
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "energy_data.index.min(), energy_data.index.max()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Timestamp('2013-02-17 23:39:19'), Timestamp('2013-10-10 13:15:58'))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "Gp3C-ZIF3OoV",
        "outputId": "54c87c67-e491-4d22-c81d-eb70582cb40d",
        "colab": {
          "height": 314
        }
      },
      "cell_type": "code",
      "source": [
        "cutoff_st = '2013-06-01 00:00:00'\n",
        "cutoff_et = '2013-09-30 23:59:59'\n",
        "energy_data = energy_data.loc[cutoff_st:cutoff_et]\n",
        "print('{}, {}'.format(energy_data.index.min(), energy_data.index.max()))\n",
        "energy_data.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2013-06-01 00:00:00, 2013-09-30 23:59:58\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
              "      <th>cooker</th>\n",
              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>aggregate</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>playstation</th>\n",
              "      <th>toaster</th>\n",
              "      <th>fridge</th>\n",
              "      <th>microwave</th>\n",
              "      <th>laptop2</th>\n",
              "      <th>running_machine</th>\n",
              "      <th>washing_machine</th>\n",
              "      <th>dish_washer</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.393005e+06</td>\n",
              "      <td>1.396874e+06</td>\n",
              "      <td>1.396576e+06</td>\n",
              "      <td>1.402749e+06</td>\n",
              "      <td>1.391002e+06</td>\n",
              "      <td>1.402752e+06</td>\n",
              "      <td>1.402774e+06</td>\n",
              "      <td>1.397161e+06</td>\n",
              "      <td>1.402784e+06</td>\n",
              "      <td>1.402794e+06</td>\n",
              "      <td>1.402525e+06</td>\n",
              "      <td>1.402212e+06</td>\n",
              "      <td>1.400604e+06</td>\n",
              "      <td>1.402672e+06</td>\n",
              "      <td>1.400815e+06</td>\n",
              "      <td>1.390381e+06</td>\n",
              "      <td>1.402192e+06</td>\n",
              "      <td>1.402098e+06</td>\n",
              "      <td>1.402556e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.990243e+00</td>\n",
              "      <td>2.148003e-01</td>\n",
              "      <td>3.353873e+00</td>\n",
              "      <td>2.640869e+01</td>\n",
              "      <td>3.071325e+02</td>\n",
              "      <td>2.113359e+01</td>\n",
              "      <td>8.875795e+00</td>\n",
              "      <td>6.109266e+00</td>\n",
              "      <td>6.007625e-01</td>\n",
              "      <td>1.382387e+01</td>\n",
              "      <td>6.382900e+00</td>\n",
              "      <td>9.452758e-01</td>\n",
              "      <td>5.645793e-01</td>\n",
              "      <td>4.712189e+01</td>\n",
              "      <td>6.772695e+00</td>\n",
              "      <td>4.107219e+00</td>\n",
              "      <td>3.195568e+00</td>\n",
              "      <td>1.175946e+01</td>\n",
              "      <td>4.153590e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>6.217024e-01</td>\n",
              "      <td>5.571905e+00</td>\n",
              "      <td>2.983225e+01</td>\n",
              "      <td>2.729250e+02</td>\n",
              "      <td>4.566821e+02</td>\n",
              "      <td>2.870907e+01</td>\n",
              "      <td>1.293091e+01</td>\n",
              "      <td>4.329827e-01</td>\n",
              "      <td>2.140922e+00</td>\n",
              "      <td>9.514190e-01</td>\n",
              "      <td>3.732126e+00</td>\n",
              "      <td>8.617581e-01</td>\n",
              "      <td>1.659793e+01</td>\n",
              "      <td>4.513692e+01</td>\n",
              "      <td>9.192325e+01</td>\n",
              "      <td>9.795207e+00</td>\n",
              "      <td>2.368819e+01</td>\n",
              "      <td>1.232902e+02</td>\n",
              "      <td>2.793435e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.090000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.470000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.300000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.970000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.730000e+02</td>\n",
              "      <td>6.000000e+01</td>\n",
              "      <td>1.900000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>8.700000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.650000e+02</td>\n",
              "      <td>3.532000e+03</td>\n",
              "      <td>8.210000e+02</td>\n",
              "      <td>3.998000e+03</td>\n",
              "      <td>6.361000e+03</td>\n",
              "      <td>3.640000e+02</td>\n",
              "      <td>2.100000e+03</td>\n",
              "      <td>1.340000e+02</td>\n",
              "      <td>1.917000e+03</td>\n",
              "      <td>3.300000e+01</td>\n",
              "      <td>2.400000e+01</td>\n",
              "      <td>1.200000e+02</td>\n",
              "      <td>3.216000e+03</td>\n",
              "      <td>1.826000e+03</td>\n",
              "      <td>2.668000e+03</td>\n",
              "      <td>2.621000e+03</td>\n",
              "      <td>1.349000e+03</td>\n",
              "      <td>2.974000e+03</td>\n",
              "      <td>3.955000e+03</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              modem        cooker   rice_cooker        kettle     aggregate  \\\n",
              "count  1.393005e+06  1.396874e+06  1.396576e+06  1.402749e+06  1.391002e+06   \n",
              "mean   8.990243e+00  2.148003e-01  3.353873e+00  2.640869e+01  3.071325e+02   \n",
              "std    6.217024e-01  5.571905e+00  2.983225e+01  2.729250e+02  4.566821e+02   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  1.090000e+02   \n",
              "25%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  1.470000e+02   \n",
              "50%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  1.970000e+02   \n",
              "75%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  2.730000e+02   \n",
              "max    2.650000e+02  3.532000e+03  8.210000e+02  3.998000e+03  6.361000e+03   \n",
              "\n",
              "            monitor        laptop        router    server_hdd        server  \\\n",
              "count  1.402752e+06  1.402774e+06  1.397161e+06  1.402784e+06  1.402794e+06   \n",
              "mean   2.113359e+01  8.875795e+00  6.109266e+00  6.007625e-01  1.382387e+01   \n",
              "std    2.870907e+01  1.293091e+01  4.329827e-01  2.140922e+00  9.514190e-01   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  9.000000e+00   \n",
              "25%    0.000000e+00  0.000000e+00  6.000000e+00  0.000000e+00  1.300000e+01   \n",
              "50%    0.000000e+00  0.000000e+00  6.000000e+00  1.000000e+00  1.400000e+01   \n",
              "75%    6.000000e+01  1.900000e+01  6.000000e+00  1.000000e+00  1.400000e+01   \n",
              "max    3.640000e+02  2.100000e+03  1.340000e+02  1.917000e+03  3.300000e+01   \n",
              "\n",
              "           speakers   playstation       toaster        fridge     microwave  \\\n",
              "count  1.402525e+06  1.402212e+06  1.400604e+06  1.402672e+06  1.400815e+06   \n",
              "mean   6.382900e+00  9.452758e-01  5.645793e-01  4.712189e+01  6.772695e+00   \n",
              "std    3.732126e+00  8.617581e-01  1.659793e+01  4.513692e+01  9.192325e+01   \n",
              "min    2.000000e+00  0.000000e+00  0.000000e+00  9.000000e+00  0.000000e+00   \n",
              "25%    3.000000e+00  1.000000e+00  0.000000e+00  1.100000e+01  0.000000e+00   \n",
              "50%    3.000000e+00  1.000000e+00  0.000000e+00  1.100000e+01  0.000000e+00   \n",
              "75%    1.000000e+01  1.000000e+00  1.000000e+00  8.700000e+01  0.000000e+00   \n",
              "max    2.400000e+01  1.200000e+02  3.216000e+03  1.826000e+03  2.668000e+03   \n",
              "\n",
              "            laptop2  running_machine  washing_machine   dish_washer  \n",
              "count  1.390381e+06     1.402192e+06     1.402098e+06  1.402556e+06  \n",
              "mean   4.107219e+00     3.195568e+00     1.175946e+01  4.153590e+01  \n",
              "std    9.795207e+00     2.368819e+01     1.232902e+02  2.793435e+02  \n",
              "min    0.000000e+00     0.000000e+00     0.000000e+00  0.000000e+00  \n",
              "25%    0.000000e+00     1.000000e+00     3.000000e+00  1.000000e+00  \n",
              "50%    0.000000e+00     1.000000e+00     3.000000e+00  1.000000e+00  \n",
              "75%    0.000000e+00     1.000000e+00     4.000000e+00  1.000000e+00  \n",
              "max    2.621000e+03     1.349000e+03     2.974000e+03  3.955000e+03  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "flJQtPpZiRFE",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "energy_data = energy_data.fillna(method='ffill').fillna(method='bfill')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "0V43QZvGUjLu",
        "outputId": "7dadd3aa-eaee-4500-c753-c4ff98256d3c",
        "colab": {
          "height": 314
        }
      },
      "cell_type": "code",
      "source": [
        "energy_data = energy_data.asfreq(freq='6S', method='ffill')\n",
        "print(energy_data.shape)\n",
        "energy_data.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(1756800, 19)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
              "      <th>cooker</th>\n",
              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>aggregate</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>playstation</th>\n",
              "      <th>toaster</th>\n",
              "      <th>fridge</th>\n",
              "      <th>microwave</th>\n",
              "      <th>laptop2</th>\n",
              "      <th>running_machine</th>\n",
              "      <th>washing_machine</th>\n",
              "      <th>dish_washer</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.993531e+00</td>\n",
              "      <td>1.799095e-01</td>\n",
              "      <td>2.912218e+00</td>\n",
              "      <td>4.568467e+01</td>\n",
              "      <td>3.275494e+02</td>\n",
              "      <td>2.587901e+01</td>\n",
              "      <td>1.106762e+01</td>\n",
              "      <td>6.108015e+00</td>\n",
              "      <td>2.018849e+00</td>\n",
              "      <td>1.386760e+01</td>\n",
              "      <td>6.960742e+00</td>\n",
              "      <td>9.553341e-01</td>\n",
              "      <td>5.982895e-01</td>\n",
              "      <td>5.447749e+01</td>\n",
              "      <td>5.424965e+00</td>\n",
              "      <td>3.729172e+00</td>\n",
              "      <td>2.793177e+00</td>\n",
              "      <td>1.020763e+01</td>\n",
              "      <td>3.349719e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>6.609501e-01</td>\n",
              "      <td>5.040695e+00</td>\n",
              "      <td>2.690448e+01</td>\n",
              "      <td>3.598391e+02</td>\n",
              "      <td>4.783851e+02</td>\n",
              "      <td>2.988756e+01</td>\n",
              "      <td>1.273327e+01</td>\n",
              "      <td>4.635816e-01</td>\n",
              "      <td>4.085768e+00</td>\n",
              "      <td>8.878696e-01</td>\n",
              "      <td>3.686237e+00</td>\n",
              "      <td>7.838813e-01</td>\n",
              "      <td>1.492556e+01</td>\n",
              "      <td>4.444674e+01</td>\n",
              "      <td>8.228449e+01</td>\n",
              "      <td>9.242025e+00</td>\n",
              "      <td>2.143408e+01</td>\n",
              "      <td>1.102549e+02</td>\n",
              "      <td>2.506067e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.090000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.700000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.300000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.210000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>8.300000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.940000e+02</td>\n",
              "      <td>6.000000e+01</td>\n",
              "      <td>2.000000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>9.200000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.650000e+02</td>\n",
              "      <td>3.532000e+03</td>\n",
              "      <td>8.210000e+02</td>\n",
              "      <td>3.998000e+03</td>\n",
              "      <td>6.361000e+03</td>\n",
              "      <td>3.640000e+02</td>\n",
              "      <td>2.100000e+03</td>\n",
              "      <td>1.340000e+02</td>\n",
              "      <td>1.917000e+03</td>\n",
              "      <td>3.300000e+01</td>\n",
              "      <td>2.400000e+01</td>\n",
              "      <td>1.200000e+02</td>\n",
              "      <td>3.216000e+03</td>\n",
              "      <td>1.826000e+03</td>\n",
              "      <td>2.668000e+03</td>\n",
              "      <td>2.621000e+03</td>\n",
              "      <td>1.349000e+03</td>\n",
              "      <td>2.974000e+03</td>\n",
              "      <td>3.955000e+03</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              modem        cooker   rice_cooker        kettle     aggregate  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   8.993531e+00  1.799095e-01  2.912218e+00  4.568467e+01  3.275494e+02   \n",
              "std    6.609501e-01  5.040695e+00  2.690448e+01  3.598391e+02  4.783851e+02   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  1.090000e+02   \n",
              "25%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  1.700000e+02   \n",
              "50%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  2.210000e+02   \n",
              "75%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  2.940000e+02   \n",
              "max    2.650000e+02  3.532000e+03  8.210000e+02  3.998000e+03  6.361000e+03   \n",
              "\n",
              "            monitor        laptop        router    server_hdd        server  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   2.587901e+01  1.106762e+01  6.108015e+00  2.018849e+00  1.386760e+01   \n",
              "std    2.988756e+01  1.273327e+01  4.635816e-01  4.085768e+00  8.878696e-01   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  9.000000e+00   \n",
              "25%    0.000000e+00  0.000000e+00  6.000000e+00  0.000000e+00  1.300000e+01   \n",
              "50%    0.000000e+00  1.100000e+01  6.000000e+00  1.000000e+00  1.400000e+01   \n",
              "75%    6.000000e+01  2.000000e+01  6.000000e+00  1.000000e+00  1.400000e+01   \n",
              "max    3.640000e+02  2.100000e+03  1.340000e+02  1.917000e+03  3.300000e+01   \n",
              "\n",
              "           speakers   playstation       toaster        fridge     microwave  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   6.960742e+00  9.553341e-01  5.982895e-01  5.447749e+01  5.424965e+00   \n",
              "std    3.686237e+00  7.838813e-01  1.492556e+01  4.444674e+01  8.228449e+01   \n",
              "min    2.000000e+00  0.000000e+00  0.000000e+00  9.000000e+00  0.000000e+00   \n",
              "25%    3.000000e+00  1.000000e+00  0.000000e+00  1.100000e+01  0.000000e+00   \n",
              "50%    1.000000e+01  1.000000e+00  0.000000e+00  8.300000e+01  0.000000e+00   \n",
              "75%    1.000000e+01  1.000000e+00  1.000000e+00  9.200000e+01  0.000000e+00   \n",
              "max    2.400000e+01  1.200000e+02  3.216000e+03  1.826000e+03  2.668000e+03   \n",
              "\n",
              "            laptop2  running_machine  washing_machine   dish_washer  \n",
              "count  1.756800e+06     1.756800e+06     1.756800e+06  1.756800e+06  \n",
              "mean   3.729172e+00     2.793177e+00     1.020763e+01  3.349719e+01  \n",
              "std    9.242025e+00     2.143408e+01     1.102549e+02  2.506067e+02  \n",
              "min    0.000000e+00     0.000000e+00     0.000000e+00  0.000000e+00  \n",
              "25%    0.000000e+00     1.000000e+00     3.000000e+00  1.000000e+00  \n",
              "50%    0.000000e+00     1.000000e+00     4.000000e+00  1.000000e+00  \n",
              "75%    0.000000e+00     1.000000e+00     4.000000e+00  1.000000e+00  \n",
              "max    2.621000e+03     1.349000e+03     2.974000e+03  3.955000e+03  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "GemJHNUnlpyV",
        "outputId": "f5cc9671-94fb-4175-a4ce-b5262b97e559",
        "colab": {
          "height": 405
        }
      },
      "cell_type": "code",
      "source": [
        "energy_data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
              "      <th>cooker</th>\n",
              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>aggregate</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>playstation</th>\n",
              "      <th>toaster</th>\n",
              "      <th>fridge</th>\n",
              "      <th>microwave</th>\n",
              "      <th>laptop2</th>\n",
              "      <th>running_machine</th>\n",
              "      <th>washing_machine</th>\n",
              "      <th>dish_washer</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>time</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:00</th>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>266.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>47.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:06</th>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>275.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>53.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:12</th>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>262.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:18</th>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>266.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:24</th>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>266.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>52.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     modem  cooker  rice_cooker  kettle  aggregate  monitor  \\\n",
              "time                                                                          \n",
              "2013-06-01 00:00:00    9.0     0.0          1.0     1.0      266.0     60.0   \n",
              "2013-06-01 00:00:06    9.0     0.0          1.0     1.0      275.0     60.0   \n",
              "2013-06-01 00:00:12    9.0     0.0          1.0     1.0      262.0     60.0   \n",
              "2013-06-01 00:00:18    9.0     0.0          1.0     1.0      266.0     60.0   \n",
              "2013-06-01 00:00:24    9.0     0.0          1.0     1.0      266.0     60.0   \n",
              "\n",
              "                     laptop  router  server_hdd  server  speakers  \\\n",
              "time                                                                \n",
              "2013-06-01 00:00:00    47.0     6.0         1.0    13.0      10.0   \n",
              "2013-06-01 00:00:06    53.0     6.0         1.0    14.0      10.0   \n",
              "2013-06-01 00:00:12    50.0     7.0         1.0    14.0      10.0   \n",
              "2013-06-01 00:00:18    50.0     7.0         1.0    14.0      10.0   \n",
              "2013-06-01 00:00:24    52.0     6.0         1.0    14.0      10.0   \n",
              "\n",
              "                     playstation  toaster  fridge  microwave  laptop2  \\\n",
              "time                                                                    \n",
              "2013-06-01 00:00:00          0.0      0.0    10.0        0.0      0.0   \n",
              "2013-06-01 00:00:06          0.0      0.0    10.0        0.0      0.0   \n",
              "2013-06-01 00:00:12          0.0      0.0    10.0        0.0      0.0   \n",
              "2013-06-01 00:00:18          1.0      0.0    10.0        0.0      0.0   \n",
              "2013-06-01 00:00:24          1.0      0.0    10.0        0.0      0.0   \n",
              "\n",
              "                     running_machine  washing_machine  dish_washer  \n",
              "time                                                                \n",
              "2013-06-01 00:00:00              1.0              3.0          0.0  \n",
              "2013-06-01 00:00:06              1.0              3.0          0.0  \n",
              "2013-06-01 00:00:12              1.0              3.0          0.0  \n",
              "2013-06-01 00:00:18              1.0              3.0          1.0  \n",
              "2013-06-01 00:00:24              1.0              3.0          1.0  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "r3NxTZG6aXpp",
        "outputId": "fb2d6881-d687-4645-bd21-6556f72606d1",
        "colab": {
          "height": 442
        }
      },
      "cell_type": "code",
      "source": [
        "energy_data = energy_data.astype(int)\n",
        "energy_data.info()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "DatetimeIndex: 1756800 entries, 2013-06-01 00:00:00 to 2013-09-30 23:59:54\n",
            "Freq: 6S\n",
            "Data columns (total 19 columns):\n",
            "modem              int64\n",
            "cooker             int64\n",
            "rice_cooker        int64\n",
            "kettle             int64\n",
            "aggregate          int64\n",
            "monitor            int64\n",
            "laptop             int64\n",
            "router             int64\n",
            "server_hdd         int64\n",
            "server             int64\n",
            "speakers           int64\n",
            "playstation        int64\n",
            "toaster            int64\n",
            "fridge             int64\n",
            "microwave          int64\n",
            "laptop2            int64\n",
            "running_machine    int64\n",
            "washing_machine    int64\n",
            "dish_washer        int64\n",
            "dtypes: int64(19)\n",
            "memory usage: 268.1 MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "YTwdDG5na4fW",
        "outputId": "591bc23b-5e4c-4f5a-ae10-685929c8ae45",
        "colab": {
          "height": 297
        }
      },
      "cell_type": "code",
      "source": [
        "energy_data.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
              "      <th>cooker</th>\n",
              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>aggregate</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>playstation</th>\n",
              "      <th>toaster</th>\n",
              "      <th>fridge</th>\n",
              "      <th>microwave</th>\n",
              "      <th>laptop2</th>\n",
              "      <th>running_machine</th>\n",
              "      <th>washing_machine</th>\n",
              "      <th>dish_washer</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.993531e+00</td>\n",
              "      <td>1.799095e-01</td>\n",
              "      <td>2.912218e+00</td>\n",
              "      <td>4.568467e+01</td>\n",
              "      <td>3.275494e+02</td>\n",
              "      <td>2.587901e+01</td>\n",
              "      <td>1.106762e+01</td>\n",
              "      <td>6.108015e+00</td>\n",
              "      <td>2.018849e+00</td>\n",
              "      <td>1.386760e+01</td>\n",
              "      <td>6.960742e+00</td>\n",
              "      <td>9.553341e-01</td>\n",
              "      <td>5.982895e-01</td>\n",
              "      <td>5.447749e+01</td>\n",
              "      <td>5.424965e+00</td>\n",
              "      <td>3.729172e+00</td>\n",
              "      <td>2.793177e+00</td>\n",
              "      <td>1.020763e+01</td>\n",
              "      <td>3.349719e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>6.609501e-01</td>\n",
              "      <td>5.040695e+00</td>\n",
              "      <td>2.690448e+01</td>\n",
              "      <td>3.598391e+02</td>\n",
              "      <td>4.783851e+02</td>\n",
              "      <td>2.988756e+01</td>\n",
              "      <td>1.273327e+01</td>\n",
              "      <td>4.635816e-01</td>\n",
              "      <td>4.085768e+00</td>\n",
              "      <td>8.878696e-01</td>\n",
              "      <td>3.686237e+00</td>\n",
              "      <td>7.838813e-01</td>\n",
              "      <td>1.492556e+01</td>\n",
              "      <td>4.444674e+01</td>\n",
              "      <td>8.228449e+01</td>\n",
              "      <td>9.242025e+00</td>\n",
              "      <td>2.143408e+01</td>\n",
              "      <td>1.102549e+02</td>\n",
              "      <td>2.506067e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.090000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.700000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.300000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.210000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>8.300000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.940000e+02</td>\n",
              "      <td>6.000000e+01</td>\n",
              "      <td>2.000000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>9.200000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.650000e+02</td>\n",
              "      <td>3.532000e+03</td>\n",
              "      <td>8.210000e+02</td>\n",
              "      <td>3.998000e+03</td>\n",
              "      <td>6.361000e+03</td>\n",
              "      <td>3.640000e+02</td>\n",
              "      <td>2.100000e+03</td>\n",
              "      <td>1.340000e+02</td>\n",
              "      <td>1.917000e+03</td>\n",
              "      <td>3.300000e+01</td>\n",
              "      <td>2.400000e+01</td>\n",
              "      <td>1.200000e+02</td>\n",
              "      <td>3.216000e+03</td>\n",
              "      <td>1.826000e+03</td>\n",
              "      <td>2.668000e+03</td>\n",
              "      <td>2.621000e+03</td>\n",
              "      <td>1.349000e+03</td>\n",
              "      <td>2.974000e+03</td>\n",
              "      <td>3.955000e+03</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              modem        cooker   rice_cooker        kettle     aggregate  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   8.993531e+00  1.799095e-01  2.912218e+00  4.568467e+01  3.275494e+02   \n",
              "std    6.609501e-01  5.040695e+00  2.690448e+01  3.598391e+02  4.783851e+02   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  1.090000e+02   \n",
              "25%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  1.700000e+02   \n",
              "50%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  2.210000e+02   \n",
              "75%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  2.940000e+02   \n",
              "max    2.650000e+02  3.532000e+03  8.210000e+02  3.998000e+03  6.361000e+03   \n",
              "\n",
              "            monitor        laptop        router    server_hdd        server  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   2.587901e+01  1.106762e+01  6.108015e+00  2.018849e+00  1.386760e+01   \n",
              "std    2.988756e+01  1.273327e+01  4.635816e-01  4.085768e+00  8.878696e-01   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  9.000000e+00   \n",
              "25%    0.000000e+00  0.000000e+00  6.000000e+00  0.000000e+00  1.300000e+01   \n",
              "50%    0.000000e+00  1.100000e+01  6.000000e+00  1.000000e+00  1.400000e+01   \n",
              "75%    6.000000e+01  2.000000e+01  6.000000e+00  1.000000e+00  1.400000e+01   \n",
              "max    3.640000e+02  2.100000e+03  1.340000e+02  1.917000e+03  3.300000e+01   \n",
              "\n",
              "           speakers   playstation       toaster        fridge     microwave  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   6.960742e+00  9.553341e-01  5.982895e-01  5.447749e+01  5.424965e+00   \n",
              "std    3.686237e+00  7.838813e-01  1.492556e+01  4.444674e+01  8.228449e+01   \n",
              "min    2.000000e+00  0.000000e+00  0.000000e+00  9.000000e+00  0.000000e+00   \n",
              "25%    3.000000e+00  1.000000e+00  0.000000e+00  1.100000e+01  0.000000e+00   \n",
              "50%    1.000000e+01  1.000000e+00  0.000000e+00  8.300000e+01  0.000000e+00   \n",
              "75%    1.000000e+01  1.000000e+00  1.000000e+00  9.200000e+01  0.000000e+00   \n",
              "max    2.400000e+01  1.200000e+02  3.216000e+03  1.826000e+03  2.668000e+03   \n",
              "\n",
              "            laptop2  running_machine  washing_machine   dish_washer  \n",
              "count  1.756800e+06     1.756800e+06     1.756800e+06  1.756800e+06  \n",
              "mean   3.729172e+00     2.793177e+00     1.020763e+01  3.349719e+01  \n",
              "std    9.242025e+00     2.143408e+01     1.102549e+02  2.506067e+02  \n",
              "min    0.000000e+00     0.000000e+00     0.000000e+00  0.000000e+00  \n",
              "25%    0.000000e+00     1.000000e+00     3.000000e+00  1.000000e+00  \n",
              "50%    0.000000e+00     1.000000e+00     4.000000e+00  1.000000e+00  \n",
              "75%    0.000000e+00     1.000000e+00     4.000000e+00  1.000000e+00  \n",
              "max    2.621000e+03     1.349000e+03     2.974000e+03  3.955000e+03  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "gDb4z-rVSeaE",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "if 'aggregate' in energy_data.columns:\n",
        "  energy_data = energy_data.drop('aggregate', axis=1)\n",
        "\n",
        "energy_data['gross'] = energy_data.sum(axis=1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "H_GHPFoQS1Fo",
        "outputId": "693cdbb4-90c8-44f6-e8f2-5390fcd92df5",
        "colab": {
          "height": 297
        }
      },
      "cell_type": "code",
      "source": [
        "energy_data.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
              "      <th>cooker</th>\n",
              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>playstation</th>\n",
              "      <th>toaster</th>\n",
              "      <th>fridge</th>\n",
              "      <th>microwave</th>\n",
              "      <th>laptop2</th>\n",
              "      <th>running_machine</th>\n",
              "      <th>washing_machine</th>\n",
              "      <th>dish_washer</th>\n",
              "      <th>gross</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.993531e+00</td>\n",
              "      <td>1.799095e-01</td>\n",
              "      <td>2.912218e+00</td>\n",
              "      <td>4.568467e+01</td>\n",
              "      <td>2.587901e+01</td>\n",
              "      <td>1.106762e+01</td>\n",
              "      <td>6.108015e+00</td>\n",
              "      <td>2.018849e+00</td>\n",
              "      <td>1.386760e+01</td>\n",
              "      <td>6.960742e+00</td>\n",
              "      <td>9.553341e-01</td>\n",
              "      <td>5.982895e-01</td>\n",
              "      <td>5.447749e+01</td>\n",
              "      <td>5.424965e+00</td>\n",
              "      <td>3.729172e+00</td>\n",
              "      <td>2.793177e+00</td>\n",
              "      <td>1.020763e+01</td>\n",
              "      <td>3.349719e+01</td>\n",
              "      <td>2.353554e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>6.609501e-01</td>\n",
              "      <td>5.040695e+00</td>\n",
              "      <td>2.690448e+01</td>\n",
              "      <td>3.598391e+02</td>\n",
              "      <td>2.988756e+01</td>\n",
              "      <td>1.273327e+01</td>\n",
              "      <td>4.635816e-01</td>\n",
              "      <td>4.085768e+00</td>\n",
              "      <td>8.878696e-01</td>\n",
              "      <td>3.686237e+00</td>\n",
              "      <td>7.838813e-01</td>\n",
              "      <td>1.492556e+01</td>\n",
              "      <td>4.444674e+01</td>\n",
              "      <td>8.228449e+01</td>\n",
              "      <td>9.242025e+00</td>\n",
              "      <td>2.143408e+01</td>\n",
              "      <td>1.102549e+02</td>\n",
              "      <td>2.506067e+02</td>\n",
              "      <td>4.697389e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>4.400000e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.300000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>7.100000e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>8.300000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>6.000000e+01</td>\n",
              "      <td>2.000000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>9.200000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.250000e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.650000e+02</td>\n",
              "      <td>3.532000e+03</td>\n",
              "      <td>8.210000e+02</td>\n",
              "      <td>3.998000e+03</td>\n",
              "      <td>3.640000e+02</td>\n",
              "      <td>2.100000e+03</td>\n",
              "      <td>1.340000e+02</td>\n",
              "      <td>1.917000e+03</td>\n",
              "      <td>3.300000e+01</td>\n",
              "      <td>2.400000e+01</td>\n",
              "      <td>1.200000e+02</td>\n",
              "      <td>3.216000e+03</td>\n",
              "      <td>1.826000e+03</td>\n",
              "      <td>2.668000e+03</td>\n",
              "      <td>2.621000e+03</td>\n",
              "      <td>1.349000e+03</td>\n",
              "      <td>2.974000e+03</td>\n",
              "      <td>3.955000e+03</td>\n",
              "      <td>6.637000e+03</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              modem        cooker   rice_cooker        kettle       monitor  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   8.993531e+00  1.799095e-01  2.912218e+00  4.568467e+01  2.587901e+01   \n",
              "std    6.609501e-01  5.040695e+00  2.690448e+01  3.598391e+02  2.988756e+01   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
              "25%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  0.000000e+00   \n",
              "50%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  0.000000e+00   \n",
              "75%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  6.000000e+01   \n",
              "max    2.650000e+02  3.532000e+03  8.210000e+02  3.998000e+03  3.640000e+02   \n",
              "\n",
              "             laptop        router    server_hdd        server      speakers  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   1.106762e+01  6.108015e+00  2.018849e+00  1.386760e+01  6.960742e+00   \n",
              "std    1.273327e+01  4.635816e-01  4.085768e+00  8.878696e-01  3.686237e+00   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  9.000000e+00  2.000000e+00   \n",
              "25%    0.000000e+00  6.000000e+00  0.000000e+00  1.300000e+01  3.000000e+00   \n",
              "50%    1.100000e+01  6.000000e+00  1.000000e+00  1.400000e+01  1.000000e+01   \n",
              "75%    2.000000e+01  6.000000e+00  1.000000e+00  1.400000e+01  1.000000e+01   \n",
              "max    2.100000e+03  1.340000e+02  1.917000e+03  3.300000e+01  2.400000e+01   \n",
              "\n",
              "        playstation       toaster        fridge     microwave       laptop2  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   9.553341e-01  5.982895e-01  5.447749e+01  5.424965e+00  3.729172e+00   \n",
              "std    7.838813e-01  1.492556e+01  4.444674e+01  8.228449e+01  9.242025e+00   \n",
              "min    0.000000e+00  0.000000e+00  9.000000e+00  0.000000e+00  0.000000e+00   \n",
              "25%    1.000000e+00  0.000000e+00  1.100000e+01  0.000000e+00  0.000000e+00   \n",
              "50%    1.000000e+00  0.000000e+00  8.300000e+01  0.000000e+00  0.000000e+00   \n",
              "75%    1.000000e+00  1.000000e+00  9.200000e+01  0.000000e+00  0.000000e+00   \n",
              "max    1.200000e+02  3.216000e+03  1.826000e+03  2.668000e+03  2.621000e+03   \n",
              "\n",
              "       running_machine  washing_machine   dish_washer         gross  \n",
              "count     1.756800e+06     1.756800e+06  1.756800e+06  1.756800e+06  \n",
              "mean      2.793177e+00     1.020763e+01  3.349719e+01  2.353554e+02  \n",
              "std       2.143408e+01     1.102549e+02  2.506067e+02  4.697389e+02  \n",
              "min       0.000000e+00     0.000000e+00  0.000000e+00  4.400000e+01  \n",
              "25%       1.000000e+00     3.000000e+00  1.000000e+00  7.100000e+01  \n",
              "50%       1.000000e+00     4.000000e+00  1.000000e+00  1.400000e+02  \n",
              "75%       1.000000e+00     4.000000e+00  1.000000e+00  2.250000e+02  \n",
              "max       1.349000e+03     2.974000e+03  3.955000e+03  6.637000e+03  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "gDUoe_ui9d4z",
        "outputId": "9e52d43a-c54f-4901-edc5-7d832a3405d0",
        "colab": {
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "appliance_cols = ['running_machine', 'washing_machine', 'dish_washer',\n",
        "                  'microwave', 'toaster', 'kettle', 'rice_cooker', 'cooker']\n",
        "print(appliance_cols)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['running_machine', 'washing_machine', 'dish_washer', 'microwave', 'toaster', 'kettle', 'rice_cooker', 'cooker']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "QeFK-BQanVGV",
        "outputId": "0b0644b3-3f9a-427f-b4f9-5e6a20066c01",
        "colab": {
          "height": 297
        }
      },
      "cell_type": "code",
      "source": [
        "energy_data['app_sum'] = energy_data[appliance_cols].sum(axis=1)\n",
        "energy_data.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
              "      <th>cooker</th>\n",
              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>playstation</th>\n",
              "      <th>toaster</th>\n",
              "      <th>fridge</th>\n",
              "      <th>microwave</th>\n",
              "      <th>laptop2</th>\n",
              "      <th>running_machine</th>\n",
              "      <th>washing_machine</th>\n",
              "      <th>dish_washer</th>\n",
              "      <th>gross</th>\n",
              "      <th>app_sum</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "      <td>1.756800e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.993531e+00</td>\n",
              "      <td>1.799095e-01</td>\n",
              "      <td>2.912218e+00</td>\n",
              "      <td>4.568467e+01</td>\n",
              "      <td>2.587901e+01</td>\n",
              "      <td>1.106762e+01</td>\n",
              "      <td>6.108015e+00</td>\n",
              "      <td>2.018849e+00</td>\n",
              "      <td>1.386760e+01</td>\n",
              "      <td>6.960742e+00</td>\n",
              "      <td>9.553341e-01</td>\n",
              "      <td>5.982895e-01</td>\n",
              "      <td>5.447749e+01</td>\n",
              "      <td>5.424965e+00</td>\n",
              "      <td>3.729172e+00</td>\n",
              "      <td>2.793177e+00</td>\n",
              "      <td>1.020763e+01</td>\n",
              "      <td>3.349719e+01</td>\n",
              "      <td>2.353554e+02</td>\n",
              "      <td>1.012980e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>6.609501e-01</td>\n",
              "      <td>5.040695e+00</td>\n",
              "      <td>2.690448e+01</td>\n",
              "      <td>3.598391e+02</td>\n",
              "      <td>2.988756e+01</td>\n",
              "      <td>1.273327e+01</td>\n",
              "      <td>4.635816e-01</td>\n",
              "      <td>4.085768e+00</td>\n",
              "      <td>8.878696e-01</td>\n",
              "      <td>3.686237e+00</td>\n",
              "      <td>7.838813e-01</td>\n",
              "      <td>1.492556e+01</td>\n",
              "      <td>4.444674e+01</td>\n",
              "      <td>8.228449e+01</td>\n",
              "      <td>9.242025e+00</td>\n",
              "      <td>2.143408e+01</td>\n",
              "      <td>1.102549e+02</td>\n",
              "      <td>2.506067e+02</td>\n",
              "      <td>4.697389e+02</td>\n",
              "      <td>4.649709e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>4.400000e+01</td>\n",
              "      <td>2.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.300000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>7.100000e+01</td>\n",
              "      <td>7.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>8.300000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+02</td>\n",
              "      <td>8.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>6.000000e+01</td>\n",
              "      <td>2.000000e+01</td>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>9.200000e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>4.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.250000e+02</td>\n",
              "      <td>9.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.650000e+02</td>\n",
              "      <td>3.532000e+03</td>\n",
              "      <td>8.210000e+02</td>\n",
              "      <td>3.998000e+03</td>\n",
              "      <td>3.640000e+02</td>\n",
              "      <td>2.100000e+03</td>\n",
              "      <td>1.340000e+02</td>\n",
              "      <td>1.917000e+03</td>\n",
              "      <td>3.300000e+01</td>\n",
              "      <td>2.400000e+01</td>\n",
              "      <td>1.200000e+02</td>\n",
              "      <td>3.216000e+03</td>\n",
              "      <td>1.826000e+03</td>\n",
              "      <td>2.668000e+03</td>\n",
              "      <td>2.621000e+03</td>\n",
              "      <td>1.349000e+03</td>\n",
              "      <td>2.974000e+03</td>\n",
              "      <td>3.955000e+03</td>\n",
              "      <td>6.637000e+03</td>\n",
              "      <td>6.399000e+03</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              modem        cooker   rice_cooker        kettle       monitor  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   8.993531e+00  1.799095e-01  2.912218e+00  4.568467e+01  2.587901e+01   \n",
              "std    6.609501e-01  5.040695e+00  2.690448e+01  3.598391e+02  2.988756e+01   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
              "25%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  0.000000e+00   \n",
              "50%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  0.000000e+00   \n",
              "75%    9.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  6.000000e+01   \n",
              "max    2.650000e+02  3.532000e+03  8.210000e+02  3.998000e+03  3.640000e+02   \n",
              "\n",
              "             laptop        router    server_hdd        server      speakers  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   1.106762e+01  6.108015e+00  2.018849e+00  1.386760e+01  6.960742e+00   \n",
              "std    1.273327e+01  4.635816e-01  4.085768e+00  8.878696e-01  3.686237e+00   \n",
              "min    0.000000e+00  0.000000e+00  0.000000e+00  9.000000e+00  2.000000e+00   \n",
              "25%    0.000000e+00  6.000000e+00  0.000000e+00  1.300000e+01  3.000000e+00   \n",
              "50%    1.100000e+01  6.000000e+00  1.000000e+00  1.400000e+01  1.000000e+01   \n",
              "75%    2.000000e+01  6.000000e+00  1.000000e+00  1.400000e+01  1.000000e+01   \n",
              "max    2.100000e+03  1.340000e+02  1.917000e+03  3.300000e+01  2.400000e+01   \n",
              "\n",
              "        playstation       toaster        fridge     microwave       laptop2  \\\n",
              "count  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean   9.553341e-01  5.982895e-01  5.447749e+01  5.424965e+00  3.729172e+00   \n",
              "std    7.838813e-01  1.492556e+01  4.444674e+01  8.228449e+01  9.242025e+00   \n",
              "min    0.000000e+00  0.000000e+00  9.000000e+00  0.000000e+00  0.000000e+00   \n",
              "25%    1.000000e+00  0.000000e+00  1.100000e+01  0.000000e+00  0.000000e+00   \n",
              "50%    1.000000e+00  0.000000e+00  8.300000e+01  0.000000e+00  0.000000e+00   \n",
              "75%    1.000000e+00  1.000000e+00  9.200000e+01  0.000000e+00  0.000000e+00   \n",
              "max    1.200000e+02  3.216000e+03  1.826000e+03  2.668000e+03  2.621000e+03   \n",
              "\n",
              "       running_machine  washing_machine   dish_washer         gross  \\\n",
              "count     1.756800e+06     1.756800e+06  1.756800e+06  1.756800e+06   \n",
              "mean      2.793177e+00     1.020763e+01  3.349719e+01  2.353554e+02   \n",
              "std       2.143408e+01     1.102549e+02  2.506067e+02  4.697389e+02   \n",
              "min       0.000000e+00     0.000000e+00  0.000000e+00  4.400000e+01   \n",
              "25%       1.000000e+00     3.000000e+00  1.000000e+00  7.100000e+01   \n",
              "50%       1.000000e+00     4.000000e+00  1.000000e+00  1.400000e+02   \n",
              "75%       1.000000e+00     4.000000e+00  1.000000e+00  2.250000e+02   \n",
              "max       1.349000e+03     2.974000e+03  3.955000e+03  6.637000e+03   \n",
              "\n",
              "            app_sum  \n",
              "count  1.756800e+06  \n",
              "mean   1.012980e+02  \n",
              "std    4.649709e+02  \n",
              "min    2.000000e+00  \n",
              "25%    7.000000e+00  \n",
              "50%    8.000000e+00  \n",
              "75%    9.000000e+00  \n",
              "max    6.399000e+03  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "1bILBLsQHHh3",
        "outputId": "db5369d4-90e5-4266-f423-f0bd70368aef",
        "colab": {
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "st = '2013-07-04 00:00:00'\n",
        "et = '2013-07-05 00:00:00'\n",
        "sub_df = energy_data.loc[st:et]\n",
        "print(sub_df.shape)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(14401, 20)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "QA-EcIpVHSZ-",
        "outputId": "bfb333c5-a2e3-495d-acd8-620af8abfe84",
        "colab": {
          "height": 315
        }
      },
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(1, 1, figsize=(15, 8))\n",
        "\n",
        "ax = sub_df[['gross', 'app_sum']].plot(ax=ax)\n",
        "ax.grid(True)\n",
        "ax.set_title('House {}'.format(selected_hid))\n",
        "ax.set_ylabel('Power consumption in watts')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Power consumption in watts')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "KucspoxyJcMB",
        "outputId": "a6f7bf2b-eeb6-4943-c655-d50ddd527ebd",
        "colab": {
          "height": 658
        }
      },
      "cell_type": "code",
      "source": [
        "nrow = int(np.ceil(np.sqrt(len(appliance_cols))))\n",
        "ncol = int(np.ceil(1.0 * len(appliance_cols) / nrow))\n",
        "\n",
        "fig, axes = plt.subplots(nrow, ncol, figsize=(5*ncol, 3*nrow))\n",
        "axes[-1, -1].axis('off')\n",
        "\n",
        "for i, app in enumerate(appliance_cols):\n",
        "  row_ix = i // 3\n",
        "  col_ix = i % 3\n",
        "  ax = axes[row_ix][col_ix]\n",
        "  lb = energy_data[app].std()\n",
        "  ub = energy_data[app].max() - lb\n",
        "  energy_data[app + '_on'] = energy_data[app].apply(\n",
        "      lambda x: 1 if x > lb else 0)\n",
        "  energy_data[app][(energy_data[app] > lb) & \n",
        "                   (energy_data[app] < ub)].plot.hist(bins=20, ax=ax)\n",
        "  ax.set_title(app)\n",
        "  ax.grid(True)\n",
        "\n",
        "plt.tight_layout()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x648 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "ip_F2JzIJLRC",
        "outputId": "1d8c8d24-a9e9-450d-df78-a492dc7eab81",
        "colab": {
          "height": 510
        }
      },
      "cell_type": "code",
      "source": [
        "energy_data.mean(axis=0)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "modem                   8.993531\n",
              "cooker                  0.179909\n",
              "rice_cooker             2.912218\n",
              "kettle                 45.684668\n",
              "monitor                25.879006\n",
              "laptop                 11.067621\n",
              "router                  6.108015\n",
              "server_hdd              2.018849\n",
              "server                 13.867601\n",
              "speakers                6.960742\n",
              "playstation             0.955334\n",
              "toaster                 0.598290\n",
              "fridge                 54.477487\n",
              "microwave               5.424965\n",
              "laptop2                 3.729172\n",
              "running_machine         2.793177\n",
              "washing_machine        10.207630\n",
              "dish_washer            33.497187\n",
              "gross                 235.355403\n",
              "app_sum               101.298045\n",
              "running_machine_on      0.002954\n",
              "washing_machine_on      0.007450\n",
              "dish_washer_on          0.015989\n",
              "microwave_on            0.004114\n",
              "toaster_on              0.000238\n",
              "kettle_on               0.015229\n",
              "rice_cooker_on          0.007583\n",
              "cooker_on               0.016298\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "7d1Bc23Wpyh7",
        "outputId": "fd9fc9d8-c66a-4220-931a-644a3b34ae6d",
        "colab": {
          "height": 68
        }
      },
      "cell_type": "code",
      "source": [
        "train_st = '2013-06-01 00:00:00'\n",
        "train_et = '2013-07-31 23:59:59'\n",
        "train_data = energy_data.loc[train_st:train_et]\n",
        "print(train_data.shape)\n",
        "\n",
        "valid_st = '2013-08-01 00:00:00'\n",
        "valid_et = '2013-08-31 23:59:59'\n",
        "valid_data = energy_data.loc[valid_st:valid_et]\n",
        "print(valid_data.shape)\n",
        "\n",
        "test_st = '2013-09-01 00:00:00'\n",
        "test_et = '2013-09-30 23:59:59'\n",
        "test_data = energy_data.loc[test_st:test_et]\n",
        "print(test_data.shape)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(878400, 28)\n",
            "(446400, 28)\n",
            "(432000, 28)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "HL45onrn8SLJ",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "train_file = os.path.join(raw_data_dir, 'house_{}/train.csv'.format(selected_hid))\n",
        "valid_file = os.path.join(raw_data_dir, 'house_{}/valid.csv'.format(selected_hid))\n",
        "test_file = os.path.join(raw_data_dir, 'house_{}/test.csv'.format(selected_hid))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "KO9ecFa9-vR0",
        "outputId": "2f46c3ba-1f86-4c4a-897c-e01a3aa24f88",
        "colab": {
          "height": 68
        }
      },
      "cell_type": "code",
      "source": [
        "with open(train_file, 'w') as f:\n",
        "  train_data.to_csv(f)\n",
        "print('train_data saved.')\n",
        "\n",
        "with open(valid_file, 'w') as f:\n",
        "  valid_data.to_csv(f)\n",
        "print('valid_data saved.')\n",
        "  \n",
        "with open(test_file, 'w') as f:\n",
        "  test_data.to_csv(f)\n",
        "print('test_data saved.')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "train_data saved.\n",
            "valid_data saved.\n",
            "test_data saved.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "bKyaLc_hKLAG"
      },
      "cell_type": "markdown",
      "source": [
        "## Splitted Data inspection"
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "WUERTO64stcc",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "train_file = os.path.join(raw_data_dir, 'house_{}/train.csv'.format(selected_hid))\n",
        "valid_file = os.path.join(raw_data_dir, 'house_{}/valid.csv'.format(selected_hid))\n",
        "test_file = os.path.join(raw_data_dir, 'house_{}/test.csv'.format(selected_hid))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "cellView": "form",
        "colab_type": "code",
        "id": "LfqfbWQdH7op",
        "outputId": "97cfb222-ae7f-466f-ac4e-25cf172435dc",
        "colab": {
          "height": 971
        }
      },
      "cell_type": "code",
      "source": [
        "# @title Peek at the input file\n",
        "\n",
        "with open(train_file, 'r') as f:\n",
        "  train_data = pd.read_csv(f, index_col=0)\n",
        "\n",
        "print(pd.Series(train_data.columns))\n",
        "train_data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0                  modem\n",
            "1                 cooker\n",
            "2            rice_cooker\n",
            "3                 kettle\n",
            "4                monitor\n",
            "5                 laptop\n",
            "6                 router\n",
            "7             server_hdd\n",
            "8                 server\n",
            "9               speakers\n",
            "10           playstation\n",
            "11               toaster\n",
            "12                fridge\n",
            "13             microwave\n",
            "14               laptop2\n",
            "15       running_machine\n",
            "16       washing_machine\n",
            "17           dish_washer\n",
            "18                 gross\n",
            "19               app_sum\n",
            "20    running_machine_on\n",
            "21    washing_machine_on\n",
            "22        dish_washer_on\n",
            "23          microwave_on\n",
            "24            toaster_on\n",
            "25             kettle_on\n",
            "26        rice_cooker_on\n",
            "27             cooker_on\n",
            "dtype: object\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>modem</th>\n",
              "      <th>cooker</th>\n",
              "      <th>rice_cooker</th>\n",
              "      <th>kettle</th>\n",
              "      <th>monitor</th>\n",
              "      <th>laptop</th>\n",
              "      <th>router</th>\n",
              "      <th>server_hdd</th>\n",
              "      <th>server</th>\n",
              "      <th>speakers</th>\n",
              "      <th>...</th>\n",
              "      <th>gross</th>\n",
              "      <th>app_sum</th>\n",
              "      <th>running_machine_on</th>\n",
              "      <th>washing_machine_on</th>\n",
              "      <th>dish_washer_on</th>\n",
              "      <th>microwave_on</th>\n",
              "      <th>toaster_on</th>\n",
              "      <th>kettle_on</th>\n",
              "      <th>rice_cooker_on</th>\n",
              "      <th>cooker_on</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>time</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:00</th>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>47</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>13</td>\n",
              "      <td>10</td>\n",
              "      <td>...</td>\n",
              "      <td>162</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:06</th>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>53</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>10</td>\n",
              "      <td>...</td>\n",
              "      <td>169</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:12</th>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>10</td>\n",
              "      <td>...</td>\n",
              "      <td>167</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:18</th>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>10</td>\n",
              "      <td>...</td>\n",
              "      <td>169</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013-06-01 00:00:24</th>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>52</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>10</td>\n",
              "      <td>...</td>\n",
              "      <td>170</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 28 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                     modem  cooker  rice_cooker  kettle  monitor  laptop  \\\n",
              "time                                                                       \n",
              "2013-06-01 00:00:00      9       0            1       1       60      47   \n",
              "2013-06-01 00:00:06      9       0            1       1       60      53   \n",
              "2013-06-01 00:00:12      9       0            1       1       60      50   \n",
              "2013-06-01 00:00:18      9       0            1       1       60      50   \n",
              "2013-06-01 00:00:24      9       0            1       1       60      52   \n",
              "\n",
              "                     router  server_hdd  server  speakers    ...      gross  \\\n",
              "time                                                         ...              \n",
              "2013-06-01 00:00:00       6           1      13        10    ...        162   \n",
              "2013-06-01 00:00:06       6           1      14        10    ...        169   \n",
              "2013-06-01 00:00:12       7           1      14        10    ...        167   \n",
              "2013-06-01 00:00:18       7           1      14        10    ...        169   \n",
              "2013-06-01 00:00:24       6           1      14        10    ...        170   \n",
              "\n",
              "                     app_sum  running_machine_on  washing_machine_on  \\\n",
              "time                                                                   \n",
              "2013-06-01 00:00:00        6                   0                   0   \n",
              "2013-06-01 00:00:06        6                   0                   0   \n",
              "2013-06-01 00:00:12        6                   0                   0   \n",
              "2013-06-01 00:00:18        7                   0                   0   \n",
              "2013-06-01 00:00:24        7                   0                   0   \n",
              "\n",
              "                     dish_washer_on  microwave_on  toaster_on  kettle_on  \\\n",
              "time                                                                       \n",
              "2013-06-01 00:00:00               0             0           0          0   \n",
              "2013-06-01 00:00:06               0             0           0          0   \n",
              "2013-06-01 00:00:12               0             0           0          0   \n",
              "2013-06-01 00:00:18               0             0           0          0   \n",
              "2013-06-01 00:00:24               0             0           0          0   \n",
              "\n",
              "                     rice_cooker_on  cooker_on  \n",
              "time                                            \n",
              "2013-06-01 00:00:00               0          0  \n",
              "2013-06-01 00:00:06               0          0  \n",
              "2013-06-01 00:00:12               0          0  \n",
              "2013-06-01 00:00:18               0          0  \n",
              "2013-06-01 00:00:24               0          0  \n",
              "\n",
              "[5 rows x 28 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "NNvRviFHDWNX",
        "outputId": "64123ab9-3d1a-45ba-ea37-808d88e8e27c",
        "colab": {
          "height": 179
        }
      },
      "cell_type": "code",
      "source": [
        "appliance_cols = [x for x in train_data.columns if '_on' in x]\n",
        "print(train_data[appliance_cols].mean())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "running_machine_on    0.002672\n",
            "washing_machine_on    0.008931\n",
            "dish_washer_on        0.018990\n",
            "microwave_on          0.005001\n",
            "toaster_on            0.000322\n",
            "kettle_on             0.007234\n",
            "rice_cooker_on        0.007342\n",
            "cooker_on             0.018437\n",
            "dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "Fedie2Nm4wTR",
        "outputId": "b51764ce-23f3-4b35-bb44-98732c3dd53a",
        "colab": {
          "height": 197
        }
      },
      "cell_type": "code",
      "source": [
        "with open(test_file, 'r') as f:\n",
        "  test_data = pd.read_csv(f, index_col=0)\n",
        "\n",
        "print(test_data.shape)\n",
        "print(test_data[appliance_cols].mean())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(432000, 28)\n",
            "running_machine_on    0.004553\n",
            "washing_machine_on    0.006600\n",
            "dish_washer_on        0.016924\n",
            "microwave_on          0.004227\n",
            "toaster_on            0.000104\n",
            "kettle_on             0.008106\n",
            "rice_cooker_on        0.007706\n",
            "cooker_on             0.016333\n",
            "dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "dvOoWsre6TRP",
        "outputId": "cb321192-8d7b-4b50-bfb5-e8526f395be0",
        "scrolled": false,
        "colab": {
          "height": 8649
        }
      },
      "cell_type": "code",
      "source": [
        "ss = ['2013-09-{0:02d} 00:00:00'.format(i+1) for i in range(30)]\n",
        "ee = ['2013-09-{0:02d} 23:59:59'.format(i+1) for i in range(30)]\n",
        "\n",
        "\n",
        "fig, axes = plt.subplots(30, 1, figsize=(15, 120))\n",
        "for i, (s, e) in enumerate(zip(ss, ee)):\n",
        "  test_data.loc[s:e].gross.plot(ax=axes[i])\n",
        "  axes[i].set\n",
        "plt.tight_layout()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 1080x8640 with 30 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "code",
        "id": "kNqpAetLrjZU",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}